




'''simple docstring'''




def 	a_				( __snake_case				:     Tuple = 10  ,			__snake_case				:     Optional[int] = 1000  ,			__snake_case				:     Tuple = True  )				->		Optional[int]:



       """simple docstring"""
       assert (
           isinstance(__snake_case  ,			__snake_case  )
           and isinstance(__snake_case  ,			__snake_case  )
           and isinstance(__snake_case  ,			__snake_case  )
       ), "Invalid type of value(s) specified to function!"

       if min_val > max_val:
              raise ValueError('''Invalid value for min_val or max_val (min_value < max_value)'''  )
       return min_val if option else max_val





def 	a_				( __snake_case				:     List[str]  ,			__snake_case				:     Tuple  )				->		Union[str, Any]:



       """simple docstring"""
       return int((number_a + number_a) / 2  )





def 	a_				( __snake_case				:     List[str]  ,			__snake_case				:     List[Any]  ,			__snake_case				:     Tuple  )				->		Tuple:



       """simple docstring"""
       assert (
           isinstance(__snake_case  ,			__snake_case  ) and isinstance(__snake_case  ,			__snake_case  ) and isinstance(__snake_case  ,			__snake_case  )
       ), 'argument values must be type of "int"'

       if lower > higher:
              raise ValueError('''argument value for lower and higher must be(lower > higher)'''  )

       if not lower < to_guess < higher:
              raise ValueError(
                  '''guess value must be within the range of lower and higher value'''  )

       def answer(__snake_case				:     Optional[Any]  ) -> str:
              if number > to_guess:
                     return "high"
              elif number < to_guess:
                     return "low"
              else:
                     return "same"

       print('''started...'''  )

       lowerCamelCase_				=lower
       lowerCamelCase_				=higher

       lowerCamelCase_				=[]

       while True:
              lowerCamelCase_				=get_avg(__snake_case  ,			__snake_case  )
              last_numbers.append(__snake_case  )

              if answer(__snake_case  ) == "low":
                     lowerCamelCase_				=number
              elif answer(__snake_case  ) == "high":
                     lowerCamelCase_				=number
              else:
                     break

       print(F'''guess the number : {last_numbers[-1]}'''  )
       print(F'''details : {last_numbers!s}'''  )





def 	a_				( )				->		List[str]:



       """simple docstring"""
       lowerCamelCase_				=int(input('''Enter lower value : '''  ).strip()  )
       lowerCamelCase_				=int(input('''Enter high value : '''  ).strip()  )
       lowerCamelCase_				=int(input('''Enter value to guess : '''  ).strip()  )
       guess_the_number(__snake_case  ,			__snake_case  ,			__snake_case  )


if __name__ == "__main__":
     main()










'''simple docstring'''







from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)

@dataclass
class 	_snake_case(			UpperCAmelCase      ):
 __snake_case:							Union[List[PIL.Image.Image], np.ndarray]
 __snake_case:							Optional[List[bool]]
 __snake_case:							Optional[List[bool]]


try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
    from .pipeline_if import IFPipeline
    from .pipeline_if_imgaimg import IFImgaImgPipeline
    from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
    from .pipeline_if_inpainting import IFInpaintingPipeline
    from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
    from .pipeline_if_superresolution import IFSuperResolutionPipeline
    from .safety_checker import IFSafetyChecker
    from .watermark import IFWatermarker


